Data preprocessing

Sat, 18 Jul 2026 09:52:47 +0000

Definition

Data preprocessing is the essential task of transforming raw, unstructured, or noisy data into a standardized format that machine learning models can effectively consume. This stage typically includes cleaning (handling missing values and noise), normalization (scaling numerical features), encoding (converting categorical variables), and splitting (dividing data into training and testing sets). High-quality preprocessing significantly impacts model accuracy and convergence speed, serving as the foundation for reliable predictive analytics and robust AI system deployment.

Cleaning on English AI Terms Dictionary

Data preprocessing

Definition